Precision agriculture is advancing. However the lack of decision-support systems remains a stumbling block to adoption.
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This FAO website contains relevant information,datasets and basic materials on GIS and its agricultural applications.
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The cost of soil samples to characterize field variability is a key problem in precision agriculture. This study was conducted to investigate whether yield maps can be used to optimize soil sampling for characterizing soil variables that determine yield variability.
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LADA is an international UN initiative, supported by the Global Environment Facility (GEF), UNEP, the Secretariat and the Global Mechanism of the UNCCD and FAO, and is being executed by FAO. The LADA project was lauinched in 2002 and aims to assess...
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Nador Lagoon has been the focus of several national and international programmes mainly because of its aquacultural potential. Localized yields encouraged the study of the lagoon as a whole. SPOT and Landsat satellite imagery and a concurrent ground...
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Rangeland accounts for almost 80 percent of Morocco's land area and supplies about 30 percent of the feed needed for its estimated 26 million head of livestock. The availability of satellite imagery opens up new possibilities for the monitoring of...
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The project aims to introduce GPS and GIS based farming technology to the commercial mechanized farming sector of the Republic of Sudan. The specific objectives are: to introduce controlled traffic farming (CTF) with the use of GPS-based self-steering tractors.
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Aiming to contribute to the implementation of Precision Agriculture in sugar cane crop in Brazil, this project registers two fundamental process: i) to design a sugarcane yield monitor; ii) to map physical and chemical soil attributes.
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AGRiMAGE - a CSIR spin-off company specialising in agricultural information (AGRi-I) products based on processed satellite imagery received from the French satellite, SPOT has continued to grow its network of distributors and agri-businesses since its launch in late 2000.
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Gstat is an open source (GPL) computer code for multivariable geostatistical modelling, prediction and simulation, and has been around from 1997. In the original form, gstat is a stand-alone executable, interfaced to various GIS.
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